Really nice theoretical exercise! For practical visualization, an UpSet plot is a great option: https://upset.app/

TIL! Upset plots are useful and easy to understand.

Required attribution notice too big. Can’t see myself using it.

This answer doesn’t explain at all what a "Funkopop like crash" is and sounds straight from ChatGPT.

Particularly the jump from "crash" to "Crash Bandicoot like figurine".

I am really sad that even high quality discussion platforms are flooded with low quality, non-content AI comments like this.

Random side note: nowadays 'Leiden' is a recommended improvement on 'Louvain', fixing some connectivity issues and being faster: https://www.nature.com/articles/s41598-019-41695-z https://github.com/vtraag/leidenalg

I find myself often using the R ggplot2 documentation for using plotnine - it is such a decent port!

L

Good suggestion! Unfortunately I found SVG in ppt problematic/slow when plotting many objects (think 1mio points) and sometimes details can be messed up - so rendering to bitmaps is still preferred.

You could try Veusz [1], which can export in EMF format, which is useful for Microsoft Office and Powerpoint. (I am the lead author of Veusz)

[1] https://veusz.github.io/

Really good stuff and addresses many issues I had, eg documentation and jupyter compatibility. I hope the static image export gets a bit streamlined - being able to quickly & programmatically export graphs to png is really something I did not find easy from python with plotly so far. Yet it is definitely crucial eg to send a high quality image to the boss for a PowerPoint slide or to save 100s of png images for quick visual quality checks.

So I am really looking forward to give the new version a spin!

Rock solid export of high-quality static images is really important to me too. Fortunately the hard part is already done (in orca). Integrating orca into plotly.py is the very next feature I'm going to start working on after I get through SciPy next week, so hopefully it won't be too much longer...

I am really happy to hear that, thanks a lot for your efforts!

I really think having interactive plots for rapid prototyping/outlier inspection/plot design and then being able to use the same code to produce static, publication grade graphs or doing batch processing, will allow for a really efficient workflow!

That's a really hard name to search for! I found it: https://github.com/plotly/orca

I really believe the term "open source" should be avoided if the project is not under an real open source licence: https://opensource.org/osd

E.g. this uses a "Creative Commons BY-NC-ND" license which contains: "NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material". So it restricts some rights that one would usually expect from an "open source" project, which can be confusing (https://opensource.org/faq#avoid-unapproved-licenses)

Cool project otherwise!